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query rewriting

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DataFunTalk
DataFunTalk
Oct 16, 2022 · Artificial Intelligence

Query Understanding and Processing in E‑commerce Search Systems

This article explains the end‑to‑end pipeline of query understanding for e‑commerce search, covering preprocessing, segmentation, spell correction, normalization, and expansion, and discusses both academic research and industry implementations with examples and references.

E-commerceNatural Language ProcessingSearch Engine
0 likes · 13 min read
Query Understanding and Processing in E‑commerce Search Systems
58 Tech
58 Tech
Nov 18, 2021 · Artificial Intelligence

Intelligent Search Strategy for 58 Recruitment: Breaking Category Constraints and Building a Smart Recall Framework

This article describes how 58 recruitment revamped its search system by removing rigid category limits, introducing query rewriting, intent recognition, doc understanding, and vector‑based recall, resulting in significantly higher relevance, reduced bad cases, and improved commercial performance.

AIRecruitmentSearch
0 likes · 14 min read
Intelligent Search Strategy for 58 Recruitment: Breaking Category Constraints and Building a Smart Recall Framework
DataFunSummit
DataFunSummit
Jul 25, 2021 · Artificial Intelligence

Advances in Query Understanding and Semantic Retrieval at Zhihu Search

This article details Zhihu Search's engineering solutions for long‑tail query challenges, covering historical development, term weighting, synonym expansion, query rewriting with reinforcement learning, and semantic recall using BERT‑based models, while also outlining future research directions such as GAN‑based rewriting and lightweight pre‑training.

BERTembedding retrievalquery rewriting
0 likes · 14 min read
Advances in Query Understanding and Semantic Retrieval at Zhihu Search
DataFunTalk
DataFunTalk
Mar 9, 2020 · Artificial Intelligence

Microsoft XiaoIce: Architecture and Techniques for Persona‑Driven Conversational AI

The article presents an in‑depth overview of Microsoft XiaoIce’s conversational AI platform, covering system classification, the three major dialogue directions, long‑term conversation handling, query understanding and rewriting, few‑shot learning with prototypical networks, retrieval and generation models, empathy modeling, and the concept of AI beings for building personalized chatbots.

AI beingsconversational AIdialogue systems
0 likes · 26 min read
Microsoft XiaoIce: Architecture and Techniques for Persona‑Driven Conversational AI
DataFunTalk
DataFunTalk
Jan 2, 2020 · Artificial Intelligence

Improving Zhihu Search: Query Understanding, Term Weighting, Synonym Expansion, Query Rewriting, and Semantic Retrieval

This article details Zhihu's search engineering advances over the past year, covering long‑tail query challenges, term‑weight calculation, synonym expansion, query rewriting with translation models and reinforcement learning, and semantic retrieval using BERT‑based embeddings, while outlining future research directions.

NLPSearchquery rewriting
0 likes · 14 min read
Improving Zhihu Search: Query Understanding, Term Weighting, Synonym Expansion, Query Rewriting, and Semantic Retrieval
Amap Tech
Amap Tech
Nov 21, 2019 · Artificial Intelligence

Advances in Geographic Text Processing for Map Search: Query Analysis, Error Correction, Rewriting, and Omission

Recent advances in map‑search text processing replace rule‑based pipelines with machine‑learning and deep‑learning models for query analysis, error correction, rewriting, and omission, using phonetic and spatial entity correction, vector‑based similarity, and CRF sequence labeling within a three‑stage architecture of analysis, recall, and ranking to deliver more precise POI results.

NLPQuery Analysiserror correction
0 likes · 17 min read
Advances in Geographic Text Processing for Map Search: Query Analysis, Error Correction, Rewriting, and Omission
Architect
Architect
Apr 23, 2016 · Artificial Intelligence

Architecture and Techniques of an E‑commerce Search Engine

The article explains the overall architecture of an e‑commerce search engine, covering indexing, static scoring, retrieval, title and store deduplication, query analysis and rewriting, and related big‑data and AI techniques used to improve relevance and diversity of search results.

DeduplicationE-commerceRanking
0 likes · 14 min read
Architecture and Techniques of an E‑commerce Search Engine